Build an MCP Client with Spring AI
Connect a Spring AI application to MCP servers and expose their tools to a ChatClient
Connect a Spring AI application to MCP servers and expose their tools to a ChatClient
A hands-on walkthrough of building, running, and testing an MCP server using Spring AI's MCP server starters
With the growing popularity of MCP, numerous MCP servers are now available. These MCP servers can be started locally using stdio or connected to remote servers using HTTP. To use them, we can simply configure the MCP server's connection method based on the MCP client's requirements. The configuration methods are generally similar.
With the rise in popularity of AI, people are becoming familiar with using AI assistants. These assistants follow a specific pattern: users provide input to a large language model, which then generates content. Both input and output can be multimodal, including text, images, audio, and video. Of course, each model supports different input and output modalities, with text being the most fundamental type.
The MCP protocol defines two types of transports
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